Machine Learning Engineer + Data Scientist + Software Engineer Interview Questions
Practice the exact questions companies are asking right now.

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Match Netflix profit; derive required subscribers
Subscription Profit and Break-even (All Monthly) Assume all figures are monthly and "M" denotes millions. We model subscription profit as: - Profit = ...
Demonstrate Amazon LP with deep follow-ups
Behavioral STAR Stories for Amazon Data Scientist Onsite Context You are preparing for an onsite Behavioral and Leadership interview for a Data Scient...
Build leak-safe sklearn model with calibration
You must build an end‑to‑end scikit‑learn pipeline to predict churn_28d at decision time t0 using only features available at or before t0 (no leakage)...
Demonstrate leadership under ambiguity
Describe a time you faced an open-ended, lightly guided interview or project where the counterpart had a strong accent and offered little direction. H...
Derive lower bound for equicorrelation rho
Equicorrelation Matrix PSD Condition Setup Consider zero-mean, unit-variance random variables whose pairwise correlations are all equal to a common va...
Predict and act on contract renewal risk
Predicting Enterprise Contract Renewal After a Quality Incident Context A video-conferencing provider experienced a spike in call disconnects. You nee...
Explain linear regression to non‑technical stakeholders
This question evaluates understanding of linear regression fundamentals and related competencies, including defining target, features, coefficients, i...
Derive logistic regression and thresholds
Logistic Regression Deep Dive (Binary Classification) Assume a binary classification setting with observations {(x_i, y_i)} for i=1..n, where x_i ∈ R^...
Build and evaluate a conversion prediction model
Predicting 7-Day Purchase After Email Send Context You are given a CSV where each row is a user–email send (or scheduled send/control), with columns: ...
Diagnose and experiment to reduce late deliveries
Two-Sided Delivery Platform: Rising Late Deliveries You are the first analyst on a two‑sided delivery platform that handles both food and parcel order...
Derive MLEs and conditional Normal distributions
Normal and Bivariate Normal: PDFs/CDFs, MLEs, Conditioning, and Unbiased Variance Setup - Let X1, …, Xn be i.i.d. Normal(μ, σ²). - Independently, let ...
Compare two stores’ profits rigorously
Prompt: 14-Day Plan to Decide Which Snack Shop Will Be More Profitable Next Quarter Context: Two snack shops operate simultaneously at a school gate. ...
Choose clustering vs regression; explain KNN
When would you use clustering vs. regression on a business problem with partially labeled outcomes? Specify the decision criteria (label availability,...
Explain p-value and choose correct test
Technical Screen: P-values and Robust Two-Sample/Paired Tests Context: You are a data scientist evaluating healthcare interventions. Answer in clear, ...
Reduce overfitting under constraints
Reduce Overfitting Under Latency Constraints (Tabular Regression) Context (assumed) - You have a tabular regression model with a large generalization ...
Analyze daily comments distribution and sampling
Daily Comments per Active User: Sampling and Inference You have, for a given day d, the count of comments made by each active user. Let there be m act...
Prevent data registration outage and reduce loss
Preventing Silent Failures in the Premium Registration Pipeline Context A premium registration pipeline silently failed for three months, causing thou...
Handle an irate passenger after flight delay
Role-Play: Irregular Operations Recovery and Communication Plan Scenario - A flight is delayed 5 hours due to a crew time-out cascading from weather a...
Achieve 0.95 precision via thresholding
Deploying a High-Precision Classifier on an Imbalanced Dataset You are given a binary classification problem with 50,000 samples and ~5% positives. Th...
Recover causal effect without a control group
Post-hoc Causal Estimation After a Failed A/B Rollout Context An intern accidentally shipped a feature to 100% of eligible users for 5 consecutive day...